Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations

no code implementations • 20 Jun 2020 • Zhun Deng, Frances Ding, Cynthia Dwork, Rachel Hong, Giovanni Parmigiani, Prasad Patil, Pragya Sur

We study an adversarial loss function for $k$ domains and precisely characterize its limiting behavior as $k$ grows, formalizing and proving the intuition, backed by experiments, that observing data from a larger number of domains helps.

Domain Generalization Fairness